Sanghyun Hong
Orcid: 0000-0003-4154-7611Affiliations:
- Oregon State University, Corvallis, OR, USA
- University of Maryland, College Park, MD, USA (PhD 2021)
According to our database1,
Sanghyun Hong
authored at least 34 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images.
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A Scanner Deeply: Predicting Gaze Heatmaps on Visualizations Using Crowdsourced Eye Movement Data.
IEEE Trans. Vis. Comput. Graph., 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
2022
CoRR, 2022
CoRR, 2022
Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Improving cross-platform binary analysis using representation learning via graph alignment.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022
2021
Building Secure and Reliable Deep Learning Systems from a Systems Security Perspective.
PhD thesis, 2021
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference.
Proceedings of the 9th International Conference on Learning Representations, 2021
Certified Malware in South Korea: A Localized Study of Breaches of Trust in Code-Signing PKI Ecosystem.
Proceedings of the Information and Communications Security - 23rd International Conference, 2021
2020
CoRR, 2020
CoRR, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
Poster: On the Feasibility of Training Neural Networks with Visibly Watermarked Dataset.
CoRR, 2019
Terminal Brain Damage: Exposing the Graceless Degradation in Deep Neural Networks Under Hardware Fault Attacks.
Proceedings of the 28th USENIX Security Symposium, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks.
CoRR, 2018
Peek-a-boo: Inferring program behaviors in a virtualized infrastructure without introspection.
Comput. Secur., 2018
Proceedings of the 2018 IEEE International Conference on Web Services, 2018
Proceedings of the 10th USENIX Workshop on Hot Topics in Cloud Computing, 2018
Proceedings of the Big Data - BigData 2018, 2018
2017
Proceedings of the 28th ACM Conference on Hypertext and Social Media, 2017